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Linear Chain / Normal Modes Overview and Motivation: We Lecture 5 Phys 3750 Linear Chain / Normal Modes Overview and Motivation: We extend our discussion of coupled oscillators to a chain of N oscillators, where N is some arbitrary number. When N is large it will become clear that the normal modes for this system are essentially standing waves. Key Mathematics: We gain some more experience with matrices and eigenvalue problems. I. The Linear Chain of Coupled Oscillators Because two oscillators are never enough, we now extend the system that we have discussed in the last two lectures to N coupled oscillators, as illustrated below. For this problem we assume that all objects have the same mass m and all springs have the same spring constant ks . m ks … q1 q2 qN q1 = 0 q2 = 0 qN = 0 Our first goal is to find the normal modes of this system. At the beginning we approach this problem in the same manner as for two coupled oscillators: we find the net force on each oscillator, find each equation of motion, and then assume a normal- mode type solution for the system. Let's consider some arbitrary object in this chain, say the j th object. The force on this object will depend upon the stretch of the two springs on either side of it. With a little thought, you should be able to write down the net force on this object as Fj = −ks (q j − q j −1 )− ks (q j − q j +1 ), (1) or, upon simplifying, Fj = ks (q j −1 − 2q j + q j +1 ). (2) D M Riffe -1- 1/16/2013 Lecture 5 Phys 3750 You might worry that this equation is not valid for the first ( j = 1) and last ( j = N ) objects, but if we assume that the j = 0 and j = N +1 objects (the walls) have infinite mass so that q0 and qN +1 are identically zero, then Eq. (2) applies to all N objects. We shall refer to these two conditions, q0 = 0 and qN +1 = 0 , as boundary conditions (bc's) on the chain of oscillators. With the expression for the net force on each object we can write down the equation of motion (Newton's second law!) for each object as ~2 q&&j − ω (q j −1 − 2q j + q j +1 )= 0 , (3) ~ 2 where 1 ≤ j ≤ N and, as before, ω = ks m . Notice that each equation of motion is coupled: the equation of motion for the j th object depends upon the displacement of both the ( j −1) and ( j +1) objects. II. Normal Mode Solutions We now look for normal-mode solutions (where all masses oscillate at the same frequency) by assuming that1 iΩt q j = q0, j e . (4) If we substitute Eq. (4) into Eq. (3), after a bit of algebra the equations of motion become 2 ~2 Ω q0, j + ω (q0, j −1 − 2q0, j + q0, j +1 )= 0 (5) Now, keep in mind that what we have here are N equations of motion, one for each value of j from 1 to N . As in the two-oscillator problem, the set of equations can be expressed in matrix notation 2ω~2 − ω~2 0 0 q q 0,1 0,1 ~2 ~2 ~2 − ω 2ω − ω 0 q0,2 q0,2 0 − ω~2 2ω~2 − ω~2 q = Ω2 q (6) L 0,3 0,3 ~2 ~2 0 0 − ω 2ω q0,4 q0,4 M M M 1 We have slightly changed notation here. We now write the amplitudes q0, j with a comma between the zero and the mass index so that terms such as q0, j+1 are unambiguous. D M Riffe -2- 1/16/2013 Lecture 5 Phys 3750 or 2ω~2 − Ω2 − ω~2 0 0 q 0,1 ~2 ~2 2 ~2 − ω 2ω − Ω − ω 0 q0,2 0 − ω~2 2ω~2 − Ω2 − ω~2 q = 0 (7) L 0,3 ~2 ~2 2 0 0 − ω 2ω − Ω q0,4 M M So, as before, finding the normal modes reduces to finding eigenvalues Ω 2 and q 0,1 eigenvectors q0,2 [of the N × N matrix in Eq. (6)]. Recall that the eigenvalues are M found by solving the (characteristic) equation that arises when we set the determinant of the N × N matrix in Eq. (7) to zero. LOWEST FREQUENCY EIGENVECTOR 0.2 0 0 EIGENVECTOR 0.2 0 1020304050 SECOND LOWEST FREQUENCY 0.2 0 0 EIGENVECTOR 0.2 0 1020304050 THIRD LOWEST FREQUENCY 0.2 0 0 EIGENVECTOR 0.2 0 1020304050 POSITION (mass index) D M Riffe -3- 1/16/2013 Lecture 5 Phys 3750 A. Eigenvectors Now for N any larger than 3 solving the characteristic equation for the eigenvalues and eigenvectors by hand is not advisable. So let's turn to a computer mathematics program, such as Mathcad, and see what insight we can gain into this problem. Given the matrix in Eq. (6) (with a specific value for ω~ 2 ), Mathcad can calculate the eigenvalues and eigenvectors of that matrix. In the graphs on the previous page we plot the eigenvectors corresponding to the three lowest eigenvalues for the N = 50 problem. The key thing to notice is that these eigenvectors look like standing waves (on a string, for example). That is, as a function of position (i.e., mass index) j , the components q0, j of the eigenvector appear to be a sine function [which must equal zero at the ends of the chain ( j = 0 and j = N +1) because of the bc's]. This observation inspires the following ansatz for the eigenvectors q0, j = Asin()φ j , (8) where A is some arbitrary amplitude for this sine function (it could be complex because we are dealing with a complex form of the solutions), and φ is some real number that will be different for each normal mode.2 Now Eq. (8) obviously satisfies the q0 = 0 bc on the lhs of chain, but not necessarily the rhs bc qN +1 = 0 . To satisfy this bc we must have q0,N +1 = Asin[]φ ()N +1 = 0, (9) which is true only for φ()N +1 = nπ , where n is an integer. That is, we must have nπ φ = (10) n N +1 where the integer n labels the (normal-mode) solution. Now because any integer n in Eq. (10) produces a value for φ that satisfies Eq. (9), it looks like φn can take on an infinite number of values; this seems to imply an infinite number of normal modes. Well, this can't be right because we know that there are only two normal modes for 2 2π Recall, for a standing wave on a string the spatial part of the standing wave can be written as sin()λ x , so the parameter φ is obviously related to the wavelength of the normal modes (in some manner – more detail on this later). D M Riffe -4- 1/16/2013 Lecture 5 Phys 3750 the two-oscillator problem. In fact, because the N oscillator problem involves an N dimensional eigenvalue problem, there are exactly N normal modes. The solution to this conundrum lies in the fact that the sine function [in Eq. (9)] is periodic. It can be shown that there are N +1 unique solutions, but because the n = 0 solution is trivial, there are only N unique, nontrivial solutions. In fact, we can specify these N unique solutions by choosing n such that 1 ≤ n ≤ N . (11) Combining Eqs. (8), (10), and (11) we can write the N eigenvectors as nπ q0, j = Asin j , 1 ≤ n ≤ N (12) N +1 B. Eigenvalues So we have now specified the eigenvectors. What about the eigenvalues? We can obtain these by inserting Eq. (8) into Eq. (5), which produces Ω2 sin()φ j + ω~ 2 {}sin[]φ (j −1 )− 2sin(φ j)+ sin[φ ( j +1)] = 0 . (13) Now it looks like this equation depends upon j , but it does not. Using some trig identities it is not difficult to show that Eq. (13) simplifies and can be solved for Ω 2 as 2 ~ 2 2 φ Ω = 4ω sin . (14) 2 And remembering that φ only takes on the discrete values given by Eq. (10), we have the N eigenvalues 2 ~ 2 2 nπ Ω n = 4ω sin , (15) 2()N +1 where n =1,2,3,L, N . The normal-mode frequencies are thus given by ~ nπ Ω n± = ±2ω sin . (16) 2()N +1 It is interesting to plot the (positive) frequencies as a function of mode number n . Such a graph is shown below for several values of N . As with previous graphs we have set m = 1 and k s = 1. D M Riffe -5- 1/16/2013 Lecture 5 Phys 3750 As we will discuss in the next lecture, these graphs are essentially graphs of frequency vs inverse wavelength, and as such are known as dispersion relations or dispersion curves. As we will see as we work our way through the course, the dispersion relation is extremely useful in understanding the propagation of waves associated with that dispersion relation. Also, as we will discuss in the next lecture, the dispersion relation also contains information on the interactions between (the springs connecting) 2 1.5 1 0.5 N=2 N=10 N=20 NORMAL MODE FREQUENCY 0 0 5 10 15 20 NORMAL MODE INDEX (n) the oscillating objects. Notice that the frequencies plotted for two oscillators ( N = 2 ) equal our previous results Ω1 = 1 and Ω 2 = 3 (for the special case of m = 1 and ks = 1).
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